• The combination of ~24Gb, 140M YELLOW taxi rides and ~ 3Gb, 19M GREEN taxi rides in 2015 prepares us to deal with big data sets.

• The longitude, latittude data recorded from each taxi's GPS at the start and the destination of each taxi ride, capturing the geo-spatial distribution of the taxi rides.

• The time stamps of the taxi rides capture the New Yorkers' very dynamical commuting activities throughout the years, the months, the weeks and the hours.

• The tips, taxi-fares paid for the rides capture the passenger behaviorial information in responding NYC's traffic conditions.

The Tipping Habbit of the New York Taxi Passengers

The goal of this talk is to explore the tipping behavior of New Yorkers through both the Yellow Taxi, Green taxi ride data in 2015. The Tips (or the lack of them) are the way how the customers/passengers express their satisfaction and dis-satisfaction. We would like to explore the factors which influence the passengers tipping habbits.

Our main characters, YELLOW cabs and its little cousin GREEN cabs.

The GREEN taxi map is on the left.

GREEN taxi rides is on the left

GREEN taxi rides is on the left The Hours mark is montonically increasing on the y-axis

The 2D heat maps provide us important insight upon the tipping behaviors. But we need more powerful analysis to decode the dependence of tipping behaviors.